text: // Copyright 2018 The MACE Authors. All Rights Reserved.
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //     http://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  
  #include "mace/core/runtime/opencl/opencl_runtime.h"
  #include "mace/core/testing/test_benchmark.h"
  #include "mace/ops/opencl/buffer_transformer.h"
  #include "mace/ops/ops_test_util.h"
  
  namespace mace {
  namespace ops {
  namespace test {
  
  namespace {
  template <DeviceType D, typename T>
  void FilterBufferToImage(int iters,
                           int out_channel, int in_channel,
                           int height, int width) {
    mace::testing::StopTiming();
  
    OpsTestNet net;
    OpContext context(net.ws(),
                      OpTestContext::Get()->GetDevice(DeviceType::GPU));
  
    // Add input data
    net.AddRandomInput<D, T>("Input",
                             {out_channel, in_channel, height, width});
    // Create output
    Tensor *b2i_output = net.ws()->CreateTensor(
        "B2IOutput", context.device()->allocator(), DataTypeToEnum<T>::value);
  
    auto transform_func = [&]() {
      OpenCLBufferTransformer<T>(MemoryType::GPU_BUFFER, MemoryType::GPU_IMAGE)
          .Transform(&context,
                     net.ws()->GetTensor("Input"),
                     OpenCLBufferType::IN_OUT_CHANNEL,
                     MemoryType::GPU_IMAGE,
                     0,
                     DataFormat::NHWC,
                     b2i_output);
    };
  
    // Warm-up
    net.Setup(D);
    for (int i = 0; i < 5; ++i) {
      transform_func();
    }
    net.Sync();
  
    mace::testing::StartTiming();
    while (iters--) {
      transform_func();
    }
    net.Sync();
  }
  }  // namespace
  
  #define MACE_BM_B2I_MACRO(O, I, H, W, TYPE, DEVICE)                  \
    static void MACE_BM_B2I_##O##_##I##_##H##_##W##_##TYPE##_##DEVICE( \
        int iters) {                                                   \
      const int64_t tot = static_cast<int64_t>(iters) * O * I * H * W; \
      mace::testing::BytesProcessed(tot *(sizeof(TYPE)));              \
      FilterBufferToImage<DEVICE, TYPE>(iters, O, I, H, W);            \
    }                                                                  \
    MACE_BENCHMARK(MACE_BM_B2I_##O##_##I##_##H##_##W##_##TYPE##_##DEVICE)
  
  #define MACE_BM_B2I(O, I, H, W)              \
    MACE_BM_B2I_MACRO(O, I, H, W, float, GPU); \
    MACE_BM_B2I_MACRO(O, I, H, W, half, GPU);
  
  MACE_BM_B2I(5, 3, 3, 3);
  MACE_BM_B2I(5, 3, 7, 7);
  MACE_BM_B2I(32, 16, 1, 1);
  MACE_BM_B2I(32, 16, 3, 3);
  MACE_BM_B2I(32, 16, 5, 5);
  MACE_BM_B2I(32, 16, 7, 7);
  MACE_BM_B2I(64, 32, 1, 1);
  MACE_BM_B2I(64, 32, 3, 3);
  MACE_BM_B2I(64, 32, 5, 5);
  MACE_BM_B2I(64, 32, 7, 7);
  MACE_BM_B2I(128, 64, 1, 1);
  MACE_BM_B2I(128, 64, 3, 3);
  MACE_BM_B2I(128, 32, 1, 1);
  MACE_BM_B2I(128, 32, 3, 3);
  MACE_BM_B2I(256, 32, 1, 1);
  MACE_BM_B2I(256, 32, 3, 3);
  
  }  // namespace test
  }  // namespace ops
  }  // namespace mace
  